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dappart's profile rarible.com/dappart #rarible #ethereum #nonfungible #digitalasset #nft via @rariblecom
dApp User retweeted
Want to make videos like this in seconds? Visit our site to get started:
Create Now 🔗df4qnp8trk.com/4GG7W7D/7XDN2…
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dApp User retweeted
🚨 5 UNCENSORED AI IMAGE MODELS U SHOULD EXPLORE! 👀
Forget being limited to the usual image generators.
→ Flux Uncensored
→ Qwen-Image 2.1 Uncensored
→ Juggernaut XL Ragnarok
→ Pony Diffusion V6 XL
→ Illustrious XL
Some can run on your OWN PC!
How to access em below 👇
10 NSFW AI VIDEO + ALL-IN-ONE PLATFORMS (18+) 🔞
part 3
video generators + chat, image and video suites
1. Eternal AI (chat + photos + short videos)
eternalai.org/?r=md1cvesu5
2. Promptchan (chat + images + video)
promptchan.com
3. OurDream (chat + images + videos)
ourdream.ai
4. SoulGen (image to talking video)
soulgen.ai
5. Seduced (AI images + videos)
seduced.com
6. SpicyGen (image to 18+ video)
spicygen.ai
7. Candy AI (chat + pics + voice + video)
candy.ai
8. Swipey (AI companion feed + video clips)
swipey.ai
9. Venice AI (private AI chat + image + video)
venice.ai
10. Moescape (anime image + video)
moescape.ai
free doesn't mean unlimited. limits change
18+ only. fictional adult characters only.
dApp User retweeted
Seedance 2.5 vs Kling 4.0: is better realism worth 16× the price? 👀
Same prompt. Side by side. Both made on @makeugc
My take:
1) Seedance looks more realistic, but Kling isn’t far behind.
2) Both followed the instructions well. But Seedance took 3 attempts to get a clean result. Kling got it right on the first try.
3) Kling is ≈16× cheaper.
For pure quality, Seedance is still the clear winner for me. But once I factor in time, money and retries, I can’t call it the obvious choice.
Kling is a solid, much cheaper alternative. Try the same prompt and see which you prefer.
PROMPT ⬇️
**CAMERA:**
DV 16mm tape camcorder handheld feel. POV of MILA holding the camera herself, occasionally propping it on the floor or a mat for hands-free core shots. Hand shake, misaligned framing, delayed focus pulls, clumsy zooms, occasional face cut-off framing, imperfect shots. Camcorder never appears on screen.
**LOOK:**
Soft, slightly blurry tape quality, faint tape noise, bloomed highlights under gym lighting, flickering auto-exposure, muted contrast, realistic skin tones.
**STYLE:**
Playful, self-deprecating gym-vlog tone — genuine strain mixed with humor, complaining about core work while still pushing through it. Quick handheld cuts, energy staying light and funny throughout rather than fully exhausted.
**Character**
MILA — a beautiful American Instagram-style brunette model and performer, 20. Long dark-brown hair in a high ponytail, glowing skin with a light sweat sheen, glossy lips, expressive eyes, soft glam makeup and delicate sparkly stud earrings. Slim athletic figure with a very large, full bust, very full rounded buttocks, a narrow waist, flat stomach and lean arms and legs.
She wears a cobalt-blue supportive sports bra with thin straps and a deep scoop neckline showing cleavage, paired with matching ultra-short fitted athletic shorts. Bare shoulders, arms and midriff. White ankle socks, sneakers off. She speaks with an American accent.
**Setting**
A gym mat area in the evening — mirror wall nearby, water bottle on the floor, soft overhead lighting, other equipment visible in the background.
**Storyboard (15s, 6 shots)**
1. *(~2.5s, propped camera, medium shot)* She lies down on the mat, propping up on her elbows, already sighing dramatically. MILA: “Core day. Pray for me.”
2. *(~2.5s, propped camera, plank position)* She holds a plank, arms shaking slightly, talking through gritted teeth. MILA (strained): “Why am I shaking already?”
3. *(~2.5s, medium propped shot, crunches)* She moves into a set of crunches, breathing hard, complaining between reps. MILA: “This looked way easier online.”
4. *(~2s, macro insert, shallow DOF)* Close-up on her hands gripping the mat edges during a leg raise, abs visibly working. No dialogue — ambient gym sound only.
5. *(~2.5s, handheld, leg raises)* She finishes a slow leg raise set, flopping back onto the mat immediately after, laughing at herself. MILA (breathless): “Yep—my abs just quit.”
6. *(~3s, arm’s-length selfie finish)* Still lying on the mat, she lifts the camera above her face (camera no visible), grinning tiredly. MILA: “Same time tomorrow? No promises.”
#AIVideo
🤖 Made with AI
I put Seedance 2.5 and Wan 3.0 head-to-head with the same prompt after seeing Wan ranked above Seedance by Artificial Analysis
I used the same fitness vlog prompt with both models on @makeugc
Wan followed the instructions well, but Seedance looks much more natural to me. With Wan, I still get that obvious “AI video” feeling.
Personally, I think Wan’s only real advantage is its lower price. In terms of quality, it falls short.
What do you think? Which one would you pick?
PROMPT ⬇️
**CAMERA:**
DV 16mm tape camcorder handheld feel. POV of MILA holding the camera herself, occasionally propping it on the floor or a mat for hands-free core shots. Hand shake, misaligned framing, delayed focus pulls, clumsy zooms, occasional face cut-off framing, imperfect shots. Camcorder never appears on screen.
**LOOK:**
Soft, slightly blurry tape quality, faint tape noise, bloomed highlights under gym lighting, flickering auto-exposure, muted contrast, realistic skin tones.
**STYLE:**
Playful, self-deprecating gym-vlog tone — genuine strain mixed with humor, complaining about core work while still pushing through it. Quick handheld cuts, energy staying light and funny throughout rather than fully exhausted.
**Character**
MILA — a beautiful American Instagram-style brunette model and performer, 20. Long dark-brown hair in a high ponytail, glowing skin with a light sweat sheen, glossy lips, expressive eyes, soft glam makeup and delicate sparkly stud earrings. Slim athletic figure with a very large, full bust, very full rounded buttocks, a narrow waist, flat stomach and lean arms and legs.
She wears a cobalt-blue supportive sports bra with thin straps and a deep scoop neckline showing cleavage, paired with matching ultra-short fitted athletic shorts. Bare shoulders, arms and midriff. White ankle socks, sneakers off. She speaks with an American accent.
**Setting**
A gym mat area in the evening — mirror wall nearby, water bottle on the floor, soft overhead lighting, other equipment visible in the background.
**Storyboard (15s, 6 shots)**
1. *(~2.5s, propped camera, medium shot)* She lies down on the mat, propping up on her elbows, already sighing dramatically. MILA: “Core day. Pray for me.”
2. *(~2.5s, propped camera, plank position)* She holds a plank, arms shaking slightly, talking through gritted teeth. MILA (strained): “Why am I shaking already?”
3. *(~2.5s, medium propped shot, crunches)* She moves into a set of crunches, breathing hard, complaining between reps. MILA: “This looked way easier online.”
4. *(~2s, macro insert, shallow DOF)* Close-up on her hands gripping the mat edges during a leg raise, abs visibly working. No dialogue — ambient gym sound only.
5. *(~2.5s, handheld, leg raises)* She finishes a slow leg raise set, flopping back onto the mat immediately after, laughing at herself. MILA (breathless): “Yep—my abs just quit.”
6. *(~3s, arm’s-length selfie finish)* Still lying on the mat, she lifts the camera above her face (camera no visible), grinning tiredly. MILA: “Same time tomorrow? No promises.”
#AIVideo
dApp User retweeted
🎉 Introducing OpenDuet
Self-hostable, proactive AI agents that you own and works with ANY agent harness.
Includes:
- Build, generate, and edit live assets
- Human-in-the-loop approvals
- Computer use
- Mobile, Web, and Channels
Repo → github.com/CopilotKit/OpenDu…
Powered by @CopilotKit and AG-UI.
Clone this template and customize it however you want. Enterprise-ready.
dApp User retweeted
Meet Qwen-Image-2.1-Uncensored-Quantized: a text-to-image model that turns your prompts into stunning visuals. With 2.2M downloads, it's clearly a community favorite. Ready to create without limits?
dApp User retweeted
the fastest growing GitHub repos in finance + AI this week:
1. Kronos (+2,653 ★)
open source foundation model for candlestick charts, trained on data from 45+ exchanges. you feed it price history, it forecasts the next bars. code hasn't changed since april, people just found it.
github.com/shiyu-coder/Krono…
2. TradingAgents (+1,944 ★)
multi-agent LLM trading framework: analysts, researchers, a trader and a risk team arguing before every trade. #2 again, now 113K stars.
github.com/TauricResearch/Tr…
3. day-trader-skill (+972 ★)
11 Claude skills for day trading. chart scanner, news tracker, entry and stop planner, and a "time machine" that replays the session 10,000 times before you trade. paper trading by default. 4 days old.
github.com/Jakeschincariol/d…
4. Vibe-Trading (+821 ★)
personal trading agent from HKUDS. research in plain english, strategy drafts, backtests, MCP support.
github.com/HKUDS/Vibe-Tradin…
5. last30days-skill (+730 ★)
agent skill that researches any topic across Reddit, X, YouTube, HN and Polymarket, and ranks results by upvotes, likes and real money.
github.com/mvanhorn/last30da…
6. daily_stock_analysis (+487 ★)
LLM stock analysis for US, China, HK and more. sends you a daily decision dashboard to Telegram, Discord or email.
github.com/ZhuLinsen/daily_s…
7. FinceptTerminal (+412 ★)
open source Bloomberg-style terminal. market data, research and AI agents in one desktop app.
github.com/Fincept-Corporati…
8. freqtrade (+360 ★)
the OG open source crypto trading bot, with a machine learning module (FreqAI). backtests, Telegram control, supports Hyperliquid.
github.com/freqtrade/freqtra…
9. tick-stock-panel (+346 ★)
self-hosted quant workbench for China A-shares. LLM builds your strategy, then backtest and monitoring. 65 API endpoints + an MCP server.
github.com/shy3130/tick-stoc…
10. OpenBB (+294 ★)
open data platform for analysts, quants and AI agents. stocks, options, crypto, macro. has an MCP server.
github.com/openbq-org/OpenBB
bookmark this and start today.
the fastest growing GitHub repos in finance + AI this week:
1. aurelio-finance (+2,388 ★)
personal finance app with an AI advisor you can talk to. tracks net worth, ETFs, investments and cash. runs on your own computer, AI is optional with your own key. the repo is 11 days old.
github.com/LosaLosSantos/aur…
2. TradingAgents (+1,244 ★)
multi-agent LLM trading framework, analysts + researchers + trader + risk team in one stack. back on the list again. now 111K stars, new release lets it run on your ChatGPT Plus/Pro plan.
github.com/TauricResearch/Tr…
3. last30days-skill (+735 ★)
agent skill that researches any topic across Reddit, X, YouTube, HN and Polymarket, and ranks what it finds by upvotes, likes and real money. works in Claude Code, Codex and Cursor.
github.com/mvanhorn/last30da…
4. Vibe-Trading (+621 ★)
personal trading agent from HKUDS. market research in plain english, strategy drafts, backtests, MCP support. one command to give your agent trading skills.
github.com/HKUDS/Vibe-Tradin…
5. nautilus_trader (+463 ★)
Rust trading engine where the same strategy code runs in backtest and live. any asset, any venue with an API. biggest day of the week was friday, +130.
github.com/nautechsystems/na…
6. daily_stock_analysis (+428 ★)
LLM stock analysis for US, China, HK, Japan, Korea and Taiwan. sends you a daily decision dashboard to Telegram, Discord, Slack or email.
github.com/ZhuLinsen/daily_s…
7. freqtrade (+342 ★)
the OG open source crypto trading bot, now with a machine learning module (FreqAI). backtesting, Telegram control, supports Hyperliquid.
github.com/freqtrade/freqtra…
8. OpenBB (+317 ★)
open data platform for analysts, quants and AI agents. stocks, options, crypto, macro. one pip install, has an MCP server.
github.com/openbq-org/OpenBB
9. FinceptTerminal (+293 ★)
open source Bloomberg-style terminal. market analytics, research and AI agents in one desktop app.
github.com/Fincept-Corporati…
10. QuantDinger (+266 ★)
self-hosted AI trading OS. idea → python strategy → backtest → paper → live, with monitoring. was #6 back in may, still growing.
github.com/OpenByteInc/Quant…
bookmark this and start today.
dApp User retweeted
Insane Grok @bot upgrade!
Finally, you can connect Grok Bot to different agent harnesses and run tasks through their native runtimes.
Devs just open-sourced HarnessRouter, the infrastructure layer that lets Grok Bot run tasks across:
- Codex
- Hermes
- Claude Code
- DeepSeek Harness
- System One, powered by Jev
- Pi, and 20 more
GitHub repo: github.com/HarnessRouter/har…
(don’t forget to star it ⭐)
With HarnessRouter, each external specialist gets to use its own harness, model, tools, skills, and agent loop while Grok coordinates the project from one conversation.
I tested this by asking Grok Bot to turn a support-ticket CSV into an interactive dashboard.
Grok Bot assigned the analysis to DeepSeek Harness with Claude Sonnet 5.5, passed the output to Codex with GPT-5.5, and checked the finished dashboard in its browser.
This differs from simply creating more Bots. These workers are not additional Grok Bots, and Grok Bot itself does not switch harnesses.
Instead, it remains the coordinator while the delegated tasks run inside separate HarnessRouter sessions with the harness of your choice.
So for another task, you can use Claude Code, Hermes, Pi, etc., without requiring a separate integration for task execution, sessions, streaming, and generated files.
HarnessRouter standardizes all those operations through the Unified Harness Protocol (UHP).
UHP handles sessions, streaming, files, cancellation, and failures through the same interface, regardless of which harness runs the task.
I shared the GitHub repo above.
And if you want to dive deeper into Grok Bot, I wrote about it in full in a masterclass, including the shared computer, memory, skills, routines, and the macOS setup.
Read it below.




























